Verana Health

Senior Quantitative Scientist, Implementation

Verana Health$141K — $176K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Engineering, Computer Science, Math, Statistics, or related field, or equivalent experience.
  • 5+ years working with healthcare datasets and advanced analytics.
  • Proficient in R, Python, PySpark, and cloud environments (AWS).
  • Demonstrated leadership in optimizing technical and analytic workflows.
  • Experience providing analytic services to life sciences, pharmaceutical, or biotech sectors.
  • Proficient in coding and analyzing observational datasets for real-world insights.
  • Strong communicator with experience in both technical and non-technical settings.

Responsibilities

  • Lead development of scalable analytic workflows using healthcare data.
  • Design and execute analyses that support real-world evidence for commercial projects.
  • Establish best practices in code review and reproducibility.
  • Advise on the business impact of scalable processes and infrastructure investments.
  • Drive retrospective studies using EHR data, including statistical analysis planning.
  • Translate clinical questions into actionable analytic strategies through collaboration.
  • Present findings to support decision-making and innovation across teams.

Benefits

  • Opportunity to influence healthcare outcomes through data science.
  • Collaborative work environment with cross-functional teams.
  • Encouragement of a culture of learning and scientific rigor.
  • Flexibility of a remote work setting.
Full Job Description
Job Title: Senior Quantitative Scientist, Implementation
Why This Role Matters:

As a Senior Quantitative Scientist at Verana Health, you play a pivotal part in revolutionizing the way life science companies utilize data for clinical development and commercial impact. Your expertise will fuel scalable, reproducible research that drives increased efficiency and innovation. The Data & Science team's work directly improves quality of care for patients, and your technical leadership will help us harness data's full potential-ensuring clinical insights translate into better health outcomes..
What You Get to Do:
  • Lead hands-on development and implementation of robust, scalable analytic workflows using real-world, messy healthcare data
  • Design, code, and execute high-quality analyses that power real-world evidence for commercial life science projects
  • Serve as the technical authority establishing best practices in code review, version control, and reproducibility (GitHub, analytic workflows, documentation)
  • Act as a technical advisor, framing the business impact of investments in scalable processes and infrastructure
  • Drive and execute commercial retrospective studies using electronic health records (EHR) data, including statistical analysis planning and algorithm development
  • Collaborate cross-functionally (Commercial, Product, Medical, Engineering) to translate clinical questions into actionable analytic approaches
  • Present and communicate findings to internal and external partners, supporting decision-making and innovation
  • Contribute to a culture of learning and scientific rigor, continuously improving methodological standards
Skills and Experience that Will Help You Succeed:
  • Master's or Doctorate in Engineering, Computer Science, Math, Statistics, or related quantitative field, or equivalent hands-on experience
  • 5+ years of direct experience with healthcare datasets (EHR, outcomes, messy/complex data) and advanced analytical methodologies
  • Expertise in R, Python, PySpark, cloud environments (AWS), Databricks, and Git-based workflows
  • Demonstrated leadership in technical and analytic workflow optimization
  • Strong track record supporting life sciences, pharmaceutical, or biotech organizations with impactful analytic services
  • Proven expertise coding and analyzing observational datasets to generate real-world insights
  • Depth of experience communicating findings across technical and non-technical teams
  • Ability to balance scientific rigor with pragmatic approaches in a fast-paced, commercial environment


Salary Range: $141,441 - $176,801 (A geographic premium may be applied to base salary)

Final note:

You do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Caution to Job Applicants: Be vigilant against potential scams. Verana Health will never ask for payment or personal information upfront. Verify company details, cross-check job offers, and trust your instincts. Any legitimate job offer will be received by a Verana Health email account (not via gmail, text or other means) Report suspicious activities to protect yourself and others in the job-seeking community.

#LI-REMOTE

Pay ranges may vary for market conditions, location, and experience.

National Pay Range

$141,441-$176,801 USD

About Verana Health

Verana Health is a healthcare technology company that uses real-world data to accelerate research and improve patient outcomes. The company's platform aggregates and analyzes clinical data from a variety of sources, including electronic health records, medical claims, and medical devices. Verana Health was founded in 2017 and is headquartered in San Francisco, California. The company's mission is to transform healthcare by unlocking the power of data.
Learn more about Verana Health
Size
50 employees
Industry
Founded
2017

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